Files and presentation made to Kansas City R Users Group: Machine Learning Algorithms Using R's Caret Package
R
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
0-Download-UCI-Dataset.R
0-Download-UCI-Dataset.txt
1-Load-UCI-Data.R
1-Load-UCI-Data.txt
2-caret-machine-learning.R
2-caret-machine-learning.txt
Caret-Machine-Learning.pdf
README.md
caret-Bagged-Flex-Discriminant-Analysis-bagFDA.txt
caret-BaggedCART-treebag.txt
caret-Classification-and-Regression-Trees-rpart.txt
caret-Linear-Discriminant-Analysis-lda.txt
caret-Naive-Bayes-nb.txt
caret-Random-Forest-rf.txt
caret-Stochastic-Gradient-Boosting-gbm.txt
caret-Support-Vector-Machine-Polynomial-svmPoly.txt
caret-results-table.pdf
dotplot-lda.pdf

README.md

Machine Learning Algorithms Using R's Caret Package

Files and presentation made to Kansas City R Users Group on Sept. 6, 2014.

R files

0-Download-UCI-Dataset.R
1-Load-UCI-Data.R
2-caret-machine-learning.R

You'll need to edit the R scripts and specify your local working directory.

Text output files

One file for each of the 8 methods explored:

caret-MethodName-CaretName.txt

PDFs

Caret-Machine-Learning.pdf:  PDF of presentation slides
caret-results-table.pdf:  comparison of the 8 methods
dotplot-lda.pdf:  example dotplot of variable importance for LDA method